Google's carbon emissions have surged by 50% in five years, and AI data centers are the main drivers behind it!
嬲乜黄
发表于 2024-7-3 12:17:59
1303
0
0
Google announced in its 2024 environmental report on Tuesday (July 2) that its carbon emissions in 2023 have surged by 48% compared to 2019. This marks a clear setback.
According to the report, Google's emissions in 2023 were 14.3 million tons of carbon dioxide equivalent, a year-on-year increase of 13%. The increasing carbon emissions have made it even more difficult for Google to achieve its goal of achieving net zero emissions by 2030.
The company attributes the surge in emissions to the increase in energy consumption in data centers and supply chain emissions, which are driven by the rapid development and demand of artificial intelligence. Among them, the total electricity consumption of the company's data center increased by 17% in 2023.
Currently, multiple reports indicate that artificial intelligence will drive an increase in electricity demand. Earlier this year, Wall Street bank Goldman Sachs predicted that by 2030, data centers would account for 8% of the total electricity consumption in the United States; According to a report released by Wells Fargo Bank, it is expected that electricity demand will increase by 20% by 2030, and artificial intelligence data centers alone are expected to increase electricity demand by approximately 323 terawatt hours in the United States. By comparison, the current annual electricity consumption in New York City is 48 terawatt hours.
However, Google wrote in its report that the energy efficiency of its data centers is 1.8 times that of regular data centers. Moreover, the company added that it remains committed to mitigating the environmental impact of artificial intelligence through model optimization, efficient infrastructure, and emission reduction.
It is expected that renewable energy will play an important role in meeting the energy demand of artificial intelligence in the future, but analysts believe that this will not immediately take effect. Rich Country Bank analyst Roger Read pointed out that many renewable energy sources will be installed in areas with a certain distance from data centers, and building a power line to transmit energy to the data center will require a considerable amount of time.
Google is not the only large technology company facing increased emissions due to the demand for artificial intelligence. Microsoft reported in May this year that its total carbon emissions have increased by nearly 30% since 2020, mainly due to the construction of data centers.
CandyLake.com is an information publishing platform and only provides information storage space services.
Disclaimer: The views expressed in this article are those of the author only, this article does not represent the position of CandyLake.com, and does not constitute advice, please treat with caution.
Disclaimer: The views expressed in this article are those of the author only, this article does not represent the position of CandyLake.com, and does not constitute advice, please treat with caution.
You may like
- The data center is consuming too much power! Google plans to purchase nuclear power
- McDonald's China plans to open over 170 new restaurants in Suzhou within the next five years
- Bit Digital completes acquisition of Enovum data center, expanding high-performance computing business
- Pfizer will make an appearance at the 7th CIIE and make a commitment to its development for the next five years
- 80 billion Shanghai data giant raises 12 billion to expand data center
- Amazon AWS will use AI developed materials to reduce carbon emissions in data centers
- Meta will invest $10 billion to build a data center in Louisiana, USA
- Tesla China: Model Y limited time delivery final payment will be reduced by 10000 yuan, which can be combined with a five-year zero interest policy
- Did Biden make any big moves before his next term? Consider using federal land to assist in the construction of a large AI data center
- Ericsson: The number of smartphone users using generative AI applications per week will increase by 2.5 times in the next five years